VisionLab Events
HIGHLIGHT
OTHER NEWS
ReViT: Enhancing vision transformers with residual attention
Vision Transformer (ViT) self-attention mechanism is characterized by feature collapse in deeper layers, resulting in the vanishing of low-level visual features. However, such features can
2 Settembre 2024 Nessun commento
S-GEAR: Semantically Guided Representation Learning for Action Anticipation (ECCV2024)
Action anticipation is forecasting future activity from a partially observed sequence of events. However, this task is exposed to intrinsic future uncertainty and the difficulty
2 Settembre 2024 Nessun commento
23 Agosto 2024 Nessun commento
23 Agosto 2024 Nessun commento
23 Agosto 2024 Nessun commento
23 Agosto 2024 Nessun commento
Computer Vision Conferences
Nvidia News
- Extract More Kernel Performance with NVIDIA CompileIQ Auto-Tuning
- Develop High-Performance GPU Kernels in C++ with NVIDIA CUDA Tile
- NVIDIA CUDA 13.3 Enhances GPU Development with Tile Programming in C++, Compiler Autotuning, and Python Updates
- Run Key Genomics and Protein Folding Workloads Faster with NVIDIA RTX PRO 4500 Blackwell
- Synthesize Realistic 3D Medical Images at Scale to Ship Pre‑Trained Models
- Automating and Optimizing Financial Signal Discovery with Multi-Agent Systems
- Unlock Exascale Performance on NVIDIA GB200 NVL72 with Slurm Topology-Aware Job Scheduling
- Building Token‑Metered AI Services on Telco AI Factories
- Mastering Agentic Techniques: AI Agent Customization
- Add a Specialized Deep Research Skill to Agent Harnesses
- NVIDIA-Verified Agent Skills Provide Capability Governance for AI Agents
- Mastering Agentic Techniques: AI Agent Evaluation
- Get Real-Time Visibility into GPU Usage Across Kubernetes Clusters
- How the NVIDIA Vera Rubin Platform is Solving Agentic AI’s Scale-Up Problem
- Accelerated X-Ray Analysis for Nanoscale Imaging (XANI) of Novel Materials
Microsoft News
- Vega: Zero-knowledge proofs for digital identity in the age of AI
- Further Notes on Our Recent Research on AI Delegation and Long-Horizon Reliability
- mimalloc: A new, high-performance, scalable memory allocator for the modern era
- GridSFM: A new, small foundation model for the electric grid
- Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models
- Building realistic electric transmission grid dataset at scale: a pipeline from open dataset
- Microsoft at NSDI 2026: Advances in large-scale networked systems
- Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale
- AutoAdapt: Automated domain adaptation for large language models
- Can we AI our way to a more sustainable world?
- Ideas: Steering AI toward the work future we want
- ADeLe: Predicting and explaining AI performance across tasks
- AsgardBench: A benchmark for visually grounded interactive planning
- Will machines ever be intelligent?
- Systematic debugging for AI agents: Introducing the AgentRx framework
Google AI News
- Generative AI to quantify uncertainty in weather forecasting
- AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
- Computer-aided diagnosis for lung cancer screening
- Using AI to expand global access to reliable flood forecasts
- ScreenAI: A visual language model for UI and visually-situated language understanding
- SCIN: A new resource for representative dermatology images
- MELON: Reconstructing 3D objects from images with unknown poses
- HEAL: A framework for health equity assessment of machine learning performance
- Cappy: Outperforming and boosting large multi-task language models with a small scorer
- Talk like a graph: Encoding graphs for large language models
- Chain-of-table: Evolving tables in the reasoning chain for table understanding
- Health-specific embedding tools for dermatology and pathology
- Social learning: Collaborative learning with large language models
- Croissant: a metadata format for ML-ready datasets
- Google at APS 2024